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03806nam a22005895i 4500 |
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978-0-387-49819-5 |
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DE-He213 |
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20151204165653.0 |
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100301s2008 xxu| s |||| 0|eng d |
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|a 9780387498195
|9 978-0-387-49819-5
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|a 10.1007/978-0-387-49819-5
|2 doi
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|a 621.382
|2 23
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|a Foundations and Applications of Sensor Management
|h [electronic resource] /
|c edited by Alfred O. Hero, David A. Castañón, Douglas Cochran, Keith Kastella.
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|a Boston, MA :
|b Springer US,
|c 2008.
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|a XVIII, 310 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|a Overview of Book -- Stochastic Control Theory for Sensor Management -- Information Theoretic Approaches to Sensor Management -- Joint Multi-Target Particle Filtering -- Pomdp Approximation Using Simulation and Heuristics -- Multi-Armed Bandit Problems -- Application of Multi-Armed Bandits to Sensor Management -- Active Learning and Sampling -- Plan-In-Advance Active Learning 0f Classifiers -- Application of Sensor Scheduling Concepts to Radar -- Defense Applications -- Appendices.
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|a Foundations and Applications of Sensor Management presents the emerging theory of sensor management with applications to real-world examples such as landmine detection, adaptive signal and image sampling, multi-target tracking, and radar waveform scheduling. It is written by leading experts in the field for a diverse engineering audience ranging from signal processing, to automatic control, statistics, and machine learning. The level of treatment of the book is tutorial and self-contained. The chapters of the book follow a logical development from theoretical foundations to approximate approaches and ending with applications. The coverage includes the following topics: stochastic control foundations of sensor management; multi-armed bandits and their connections to sensor management; information-theoretic approaches; managed sensing for multi-target tracking; approximation methods based on embedded simulation; active learning for classification and sampling; and waveform scheduling for radar. An appendix is included to provide essential background on topics the reader may not have encountered as a first-year graduate student: Markov decision processes; information theory; and stopping times. Foundations and Applications of Sensor Management is an important reference for signal processing and control engineers and researchers as well as machine learning application developers.
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|a Engineering.
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|a Coding theory.
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|a Control engineering.
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|a Robotics.
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|a Mechatronics.
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|a Electrical engineering.
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|a Engineering.
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|a Signal, Image and Speech Processing.
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|a Communications Engineering, Networks.
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|a Control, Robotics, Mechatronics.
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|a Coding and Information Theory.
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2 |
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|a Electrical Engineering.
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1 |
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|a Hero, Alfred O.
|e editor.
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1 |
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|a Castañón, David A.
|e editor.
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700 |
1 |
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|a Cochran, Douglas.
|e editor.
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700 |
1 |
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|a Kastella, Keith.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
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|t Springer eBooks
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776 |
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|i Printed edition:
|z 9780387278926
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856 |
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|u http://dx.doi.org/10.1007/978-0-387-49819-5
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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